Dos Santos, Ludovic

11 publications

ICML 2025 Improving Consistency Models with Generator-Augmented Flows Thibaut Issenhuth, Sangchul Lee, Ludovic Dos Santos, Jean-Yves Franceschi, Chansoo Kim, Alain Rakotomamonjy

IJCAI 2024 A Conservative Approach for Few-Shot Transfer in Off-Dynamics Reinforcement Learning Paul Daoudi, Christophe Prieur, Bogdan Robu, Merwan Barlier, Ludovic Dos Santos

ICMLW 2024 Improving Consistency Models with Generator-Induced Coupling Thibaut Issenhuth, Ludovic Dos Santos, Jean-Yves Franceschi, Alain Rakotomamonjy

NeurIPS 2023 Unifying GANs and Score-Based Diffusion as Generative Particle Models Jean-Yves Franceschi, Mike Gartrell, Ludovic Dos Santos, Thibaut Issenhuth, Emmanuel de Bézenac, Mickael Chen, Alain Rakotomamonjy

ICML 2022 Convergence Rates of Non-Convex Stochastic Gradient Descent Under a Generic Lojasiewicz Condition and Local Smoothness Kevin Scaman, Cedric Malherbe, Ludovic Dos Santos

ICLRW 2022 Density Estimation for Conservative Q-Learning Paul Daoudi, Ludovic Dos Santos, Merwan Barlier, Aladin Virmaux

NeurIPSW 2022 Meta-Learning of Black-Box Solvers Using Deep Reinforcement Learning Sofian Chaybouti, Ludovic Dos Santos, Cedric Malherbe, Aladin Virmaux

NeurIPS 2020 A Simple and Efficient Smoothing Method for Faster Optimization and Local Exploration Kevin Scaman, Ludovic Dos Santos, Merwan Barlier, Igor Colin

IJCAI 2020 Coloring Graph Neural Networks for Node Disambiguation George Dasoulas, Ludovic Dos Santos, Kevin Scaman, Aladin Virmaux

NeurIPS 2019 Theoretical Limits of Pipeline Parallel Optimization and Application to Distributed Deep Learning Igor Colin, Ludovic Dos Santos, Kevin Scaman

ECML-PKDD 2016 Multilabel Classification on Heterogeneous Graphs with Gaussian Embeddings Ludovic Dos Santos, Benjamin Piwowarski, Patrick Gallinari